E-Commerce Combined with EnterpriseManagement using Cloud Computing for BusinessSectorXiaotian Qi ( [email protected] )
HuaXian Ministry Agricultural rural affairs YiNong operating centerShanmugan Joghee
Skyline universityAbdul Salam Mohammed
Skyline university
Research Article
Keywords: E-commerce, Enterprise management, cloud computing
Posted Date: July 29th, 2021
DOI: https://doi.org/10.21203/rs.3.rs-747633/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License
E-Commerce Combined with Enterprise Management using
Cloud Computing for Business Sector
Xiaotian Qi 1*, Shanmugan Joghee 2, Abdul Salam Mohammed 3
1*.HuaXian Ministry Agriculture Rural Affairs YiNong Operating Center, HuaXian, H
eNan 456400, China
2,3 School of Business, Skyline University College, Sharjah, United Arab Emirates
*Corresponding author : [email protected]
Abstract
In the techno world of today, with the rapid advancement of new economic
construction, a diversity of information expertise is emerging. Through
implementing the advanced cloud computing business model, enterprises have
resolved the problems with the shortage of capital, workforce, and technology,
which are vital in e-commerce operations to handle the conflict with the e-
commerce undertakings of enterprises and the scarcity of resources. Cloud
computing can play a critical role in increasing business processes through e-
commerce applications, leading to higher financial value for enterprises. Hence,
in this paper, Cloud Computing assisted Enterprise Resource Planning (CCAERP)
has been proposed to base on an e-commerce application for enterprise
management. Currently, most internal e-commerce systems and ERP systems
are relatively autonomous. Nevertheless, a single method of operating proved
capable of satisfying the requirements of business growth with growing fierce
market competition. Effective enterprise resource planning and e-commerce
convergence have been one of the subjects of business growth in the new era.
This paper first analyzes the relationship between Enterprise Resource Planning
and e-commerce and then examines and explores the incorporation
requirements and feasibility of the enterprise.
Keywords: E-commerce, Enterprise management, cloud computing
1. Research overview on business enterprises
In today's business enterprises, Information Technology plays an important part,
and it is useful to create products and services for their customers [1]. Currently,
through innovation in IT has driven enterprise organizations to rely on the use of
advanced technology to meet the technological demands of the company,
help their services, goods and serve their operating needs to create a broader
information and resources infrastructure [2]. E-commerce is an e-business subset
that may define e-Commerce as selling and buying over the Internet of goods
and services [3]. In e-commerce, the emphasis is on digitally powered
transactions between companies and individuals [4].
E-commerce involves value exchange (it is necessary) since no transaction exists
without value exchange [5]. A significant aspect of electronic commerce is the
rendering of Internet money by company purchases [6]. Mostly, the unique
elements of e-commerce technologies must be well understood [7]. Maintaining
a competitive advantage depends on fast innovation and digital business
transformation on modernization and the replacement of traditional systems
with new technologies [8]. Although this necessity is expanding throughout the
business, particular attention is being given to SMEs [9]. These small businesses
drive the economy increasingly and typically fail to achieve innovation and
competition [10]. A cloud is a sort of parallel and centralized network consisting
of the dynamically supplied set of interconnected and virtualized resources as
one or more fused computing services depending on the service level contracts
formed by negotiation between the provider and the customers [11]. Online
computing is an open resource that helps businesses to meet their criteria and
goals [12]. Cloud computing is a great tool to benefit the enterprise, particularly
in small companies [13]. All companies must respond to competition and
provide incentives to make better use than competitors of internet services [14].
Cloud computing will enable businesses to concentrate on creating successful
business applications of actual business benefits [15].
Figure 1: E-Commerce by Integrating Enterprise Management
Figure 1 shows the e-commerce by integrating enterprise management.
Electronic commerce is the external management of the company's resources.
The business cycle of downstream and upstream partners is involved, as well as
brand marketing, online sales, and other businesses [16]. It includes Customer
Relationship Management, Supply Chain Management, and the management of
product development. In other words, Electronic commerce is based on
Enterprise Resource Planning applications, and ERP is to support e-commerce’
activities [17]. The same applications are needed in e-commerce, and for the
essential subsidiary platform for the growth of companies that are vital elements
in the construction of company information. Enterprise resource planning is the
platform to develop electronic commerce [18]. ERP deals with planning for
logistics resources, internal production, and distribution of other resources [19].
E-business is the association between the company and the world of networks,
depends on the Internet, enables customer contact, sales orders, and physical
profits to be improved. Both structures are closely connected and compatible
functionally. It can not necessarily consider them as two separate items,
Customer
Relationship
Management
(CRM)
Enterprise
Resource
Management
(ERP)
Supply Chain
Management
(SCM)
Electronic
Commerce
Organization
Supplier
Customer
because of the interconnectivity of e-commerce and ERP. It must utilize the
point of contact to recognize and research them [20].
In this paper, Cloud Computing Assisted Enterprise Resource Planning (CCAERP)
has been proposed and based on an e-commerce application for enterprise
management. Cloud ERP is regarded as a business software package that
promotes reconciliation of company processes and transfers the information
throughout the association through a platform that allows connectivity to be
insignificant institutional or limited co-operative activities and beneficial
platform. The ERP cloud is seen as a new factor in the market. During
operational management, ERP Software brings some financial benefits to the
user. Economic aids for Enterprise Resource Planning users are higher than non-
users. Enterprise Resource Planning Systems manage information and data
resources in enterprise organizations. The data are stored in shared and
centralized data stores. Data is an essential resource for companies, and it is
critical, from this perspective, that all details in the company's IT system be
accessible in real-time. The importance of the ERP system is mobility. Cloud
computing and SaaS can be used to operate at a low cost. Cloud computing is
simply a virtual operating device web-service edge.
The significant contribution of the study is,
To propose Cloud Computing Assisted Enterprise Resource Planning
(CCAERP) based on e-commerce application for enterprise
management.
Designing the statistical model for storing the data in the cloud platform
and effective solution of ERP.
The numerical results have been performed, and the proposed method
enhances performance and efficiency when compared to other existing
approaches.
The rest of the paper organized as follows: section 1 and section 2 discussed the
overview and existing works on e-commerce and enterprise management. In
section 3, Cloud Computing Assisted Enterprise Resource Planning (CCAERP) has
been proposed. In section 4, numerical results have been performed. Finally,
section 5 concludes the research paper.
2. Related Survey
Mingwu Zhang et al. [21] proposed the Accountable mobile e-commerce
transaction (AMECT) in an intelligent cloud system. The concrete construction is
recommended, and they show that the suggested method can deliver
effective safety in the transaction procedures and allow the practical
positioning of smart information services in cloud computing systems. They
conduct and show that the study in terms of computational problem difficulty
and communication costs is effective and functional compared with similar
approaches. They have provided the concrete concept and evaluated
security. Their scheme is more practical and efficient compared to the related
scheme.
M. S. MuraliDhar et al. [22] suggested the Policy-Oriented Secured Service Model
(POSSM) for the electronic commerce applications in cloud computing. The
proposed model is a combination of an efficient, intelligent coding system, and
a trust-aware policy algorithm. The dynamic, policy-oriented service is used by
the cloud service provider to distribute the demand of the cloud user, and an
intelligent agent is used to store data safely in the cloud database using an
efficient and encryption method. The recommended model guarantees
reliability, scalability, and security for storing data and connections to resources
in e-commerce.
Hsien-Yu Lee et al. [23] initialized the web-based enterprise resource planning (e-
ERP). In this paper, they discussed the development of electronic commerce
and enterprise resource planning by referencing to internet technology and
some main web topics. They often explore the implications of this proposed
approach based on an open model – view – controller E-ERP and service
distribution tools. They discuss the uses of cloud services and models for the
efficient hosting of a reliable ERP platform, based on information systems
architecture’s evaluation and results. Moreover, they address various
comprehensive models of the creation of web applications from technological
and market perspectives in a comparative sense focused on a study of
literature and associated emerging technologies. As the findings of the
deployment show, the method can be used to host a secure cloud ERP
effectively.
Xiaoli Du et al. [24] introduced the K-means Algorithm (KMA) for business
intelligence based on big data in electronic commerce data analysis. In the
context of large data, the usage of data mining knowledge will take maximum
advantage of business opportunities. Furthermore, to offline sales, a variety of
companies often carries out online transactions with distinctive benefits, and
they collect details concealed from massive e-commerce data, access to that
details, and target ads for different client classes. This study primarily revisions the
benefits in the data analysis of electronic business companies of extensive data
and traditional business intelligence, focusing on the K-Means clustering analysis
algorithm and its implementation on customer consumption data mining on e-
commerce websites. The study of clusters divides clients into three categories. It
lets businesses classify consumers, to accomplish differentiated marketing goals,
according to the attributes of different customer classes.
K.H. Leung et al. [25] proposed the Fuzzy Association Rule Mining Approach
(FARMA) for the B2B flexible pricing DSS for handling the demand for quotation
progression under the electronic commerce corporate environment. B2B
electronic commerce retail companies, explicitly Smart-Quo, have been
implemented and developed in a pricing DSS based on Business to Business
electronic commerce. A six-month test period demonstrates that pricing
decisions on each commodity have greatly increased in performance and
efficacy. The study shows that artificial intelligence techniques can be applied
to marketing management in the current digital age and can be of potential
benefit.
To overcome these issues, in this paper, Cloud Computing Assisted Enterprise
Resource Planning (CCAERP) has been proposed and based on an e-
commerce application for enterprise management. External and internal
relations are directly linked between e-commerce and ERP for enterprises. A
successful business information system has the quality of sustaining, even if very
delicate modifications are directly transferred to other correlated links during the
actual function. When ERP is out of touch with electronic commerce, many
essential data will be contained in a relatively independent model. Therefore,
the business performs redundant work, contributing to reduced job
performance and increased operational costs. The state of enterprise resource
planning and e-commerce alone has, therefore, been unable to satisfy
corporate development desires. The incorporation between e-commerce and
ERP based on cloud computing would lead to the complete convergence of
supply chain management, consumer service, market analytics, e-commerce,
and enterprise automation. This leads to the sharing of resources and data.
Electronic Commerce and ERP integration are, therefore, necessary.
3. Cloud Computing assisted Enterprise Resource Planning (CCAERP)
In this paper, Cloud Computing Assisted Enterprise Resource Planning (CCAERP)
has been proposed and based on an e-commerce application for enterprise
management. Electronic commerce is a widespread and growing Web app
that makes it possible for partners, customers, and employees to meet a wide
range of objectives and services. The Electronic Commerce association typically
describes e-commerce as: “electronic business involves any commercial
transaction or knowledge exchange or administrative activity, carried out by
using the application of knowledge and communication.” Commonly,
Electronic commerce can be classified as Business to Business Electronic
commerce (B2B Electronic commerce): The Electronic transactions between
Enterprises, Consumer to Business E-commerce (C2B Electronic commerce):
Consumers can sell products to the Enterprises, Consumer to Consumer E-
commerce (C2C Electronic commerce): The Electronic payments between
consumers itself, Business to Consumer Electronic Commerce (B2C Electronic
commerce): Enterprises can sell to the consumers directly. Enterprise Resource
Management is primarily a collection of integrated procurements, which may
be used by a company to store and monitor data, including manufacturing,
promotion, and distribution, inventory, shipment and payment, the expense of
product preparation and development, over a term of time. The development
of the Internet offers new ways for SMEs to grow operations. However, the virtual
characteristics of the Internet often present unique challenges, and SME
websites have even less confidence and reputation. The efficient deployment of
network infrastructure environments like wireless sensor networks, e-commerce,
and social networks are affected by the trust as a key factor. To these
companies, it is important that how they build trust and establish a presence in
online markets. In recent years, computing enterprises, management society,
and service science have been focused on theoretical models linked to
reputation and trust. A new computing system for B2C electronic commerce is
introduced in this study called Dynamic trust and reputation. In the suggested
design, complex trust and reputation assessment processes for Business to
Consumer electronic commerce are implemented by utilizing a statistical
model.
Preposition 1: Direct Trust Model
Solution 1: The direct trust computation task 𝑓𝑑𝑖𝑟 can be stated by 𝑓𝑑𝑖𝑟 = 𝑓(𝑅𝑒(𝑡), 𝑅𝑏(𝑡), 𝑅𝑞(𝑡)) (1)
As shown in equation(1) where 𝑅𝑒(𝑡), 𝑅𝑏(𝑡), and𝑅𝑞(𝑡) are trust values regarding
atmospheres, the service provider, the values, and service clients, which are
restricted in the field [0,1], and t is time. If the explicit equation form (1) is used
with a simple multifunction, the direct trust assessment function 𝑓𝑑𝑖𝑟 can be
expressed by 𝑓𝑑𝑖𝑟(𝑡) = 𝑅𝑒(𝑡) ∗ 𝑅𝑏(𝑡) ∗ 𝑅𝑞(𝑡) (2)
In the progression of development of the values of 𝑅𝑞(𝑡) . There are three
significant levels: improvement phase, establishment phase, and stabilization
phase. The derived function of 𝑅𝑞(𝑡) can be replicated by the following
expression, 𝑑𝑅𝑞(𝑡)𝑑𝑡 = 𝛽 (1 − (𝑒𝛽𝑡−𝑒−𝛽𝑡𝑒𝛽𝑡+𝑒−𝛽𝑡)2) (3)
As inferred from the equation (3) where 𝛽 is the variable of the derived function
of 𝑅𝑞(𝑡). From equation (3), 𝑅𝑞(𝑡) can be resolved by 𝑅𝑞(𝑡) = 𝑒𝛽𝑡−𝑒−𝛽𝑡𝑒𝛽𝑡+𝑒−𝛽𝑡 (4)
As discussed in equation (4) where 𝑅𝑞(𝑡) are the transformation of a hyperbolic
tangent, and its derived function demonstrates that in the trust formation phase,
the value of trust does not improve continuously. Thus, expression (4) pretends
the progressions of the development of trust values. The derived function of the
progress of the value decrement 𝑅𝑞(𝑡) can be expressed as
𝑑𝑅𝑞(𝑡)𝑑𝑡 = −𝛽 (1 − (𝑒𝛽𝑡−𝑒−𝛽𝑡𝑒𝛽𝑡+𝑒−𝛽𝑡)2) (5)
The respective function 𝑅𝑞(𝑡) can be resolved as 𝑅𝑞(𝑡) = 𝑒−𝛽𝑡−𝑒𝛽𝑡𝑒−𝛽𝑡+𝑒𝛽𝑡 (6)
There are two levels of decrement progressions. In the initial level, values of 𝑅𝑞(𝑡)
fall rapidly. Further, the values of 𝑅𝑞(𝑡) will be comparatively small.
Preposition 2: Reputation Computation Model
Solution 2: As the suggested B2C e-commerce reputation scheme is focused on
other customer services, and buyer trust review records, firstly, the trust value
measurement process is addressed for various categories of service customers.
The integrated reputation model that incorporates the multiple trust values is
then introduced. The dynamic trust computation function 𝑓𝑑𝑖𝑟 can be expressed
by 𝑓𝑑𝑖𝑟(𝑡) = 𝑅𝑒(𝑡) ∗ 𝑅𝑏(𝑡) ∗ 𝑒𝛽𝑡−𝑒−𝛽𝑡𝑒𝛽𝑡+𝑒−𝛽𝑡 (7)
As discussed in equation (7) where values of 𝑅𝑒(𝑡) is preassumed constant B, and 𝑅𝑒(𝑡) is relative to service clients. Let’s assume 𝑅𝑒(𝑡) indicates three categories
of service clients, that is conservative, cautions and risk-taking, which can be
expressed by,
𝑅𝑏(𝑡) = 𝑅𝑏 = { 𝐺, 𝑖𝑓𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑐𝑙𝑖𝑒𝑛𝑡𝑖𝑠𝑟𝑖𝑠𝑘𝑡𝑎𝑘𝑖𝑛𝑔𝑁, 𝑖𝑓𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑐𝑙𝑖𝑒𝑛𝑡𝑖𝑠𝑐𝑎𝑢𝑡𝑖𝑜𝑛𝑠𝐾, 𝑖𝑓𝑠𝑒𝑟𝑣𝑖𝑐𝑒𝑐𝑙𝑖𝑒𝑛𝑡𝑖𝑠𝑐𝑜𝑛𝑠𝑒𝑟𝑎𝑡𝑖𝑣𝑒 (8)
As inferred from equation (8), where G, N, and K denotes the risk-taking,
cautions, and conservative correspondingly.
In the suggested model, the trust value lifetime is often taken into account. For
time-sensitive trust evaluation, weight function consistent with lifetime is utilized.
The latest trust value is significant. Weight function 𝑆(𝑡) can be stated as the
following expression, 𝑆(𝑡) = 𝜆𝑡−𝑡0 (9)
As derived in equation (9) where 𝜆 ∈ (0,1) is a weight factor, 𝑡 ≥ 𝑡0, and 𝑡0 is the
reference endpoint time. The trust value of weighted calculation function 𝑓𝑑𝑖𝑟 is 𝑓𝑑𝑖𝑟(𝑡) = 𝐵 ∗ 𝑅𝑏 ∗ 𝜆𝑡−𝑡0 𝑒𝛽𝑡−𝑒−𝛽𝑡𝑒𝛽𝑡+𝑒−𝛽𝑡 (10)
Figure 2 shows the service-oriented network circumstances based on trust
records. There are M overall service clients, and the reputation assessment
calculation articulate 𝑟(𝑡) can be expressed as, 𝑟(𝑡) = 1𝑀 ∑ 𝑓𝑑𝑖𝑟(𝑗) = 1𝑀 𝐵(𝑗) ∗ 𝑅𝑏(𝑗) ∗ 𝜆(𝑗)(𝑡−𝑡0) 𝑒𝛽(𝑗)𝑡−𝑒−𝛽(𝑗)𝑡𝑒𝛽(𝑗)𝑡+𝑒−𝛽(𝑗)𝑡𝑀𝑗=1 (11)
Service
provider
Trust review
records
New service
client Decision
Collect and Reputation
The third central authority
Figure 2: Service-Oriented Network Environments
Cloud infrastructure is a new model, which may not physically extant computing
means such as management, storage, and memory on the user 's site. The
service company then maintains and operates such services that customers
have access to them through the Internet. Amazon Web Services, for example,
allows customers to store personal information with its Simple Storage System (S3)
and to conduct computer comparisons through the Elastic Compute Cloud
(EC2). In utilizing these application systems, the company would benefit. Some
of the benefits may be a lower initial investment in capital, shorter times for start-
ups, lower maintenance and operations costs, efficient use by virtualization, and
most importantly, more uncomplicated recovery from crises. All these points
create a striking option for cloud computing. Reports show that computers will
migrate to the cloud with several advantages. The key cause of cloud storage
drawbacks is insufficient capacity and bandwidth. Cloud computing can
effectively be utilized to save energy on smartphones, although it presents
certain distinctive challenges. Mobile systems have become the primary
computing stage for several users, such as smartphones. As a modern market
paradigm, cloud infrastructure has a significant influence on the whole of the
Information Technology industry.
Internet
Cloud data center
Business
services
Other
Services
Payment
service
Information
services
Figure 3: Interaction between the Cloud Server and Mobile Client
Figure 3 shows the interaction between the cloud server and the mobile client.
Cloud computing is integrated into all enterprise applications and represents the
interest in a profound way. With the help of the rapid growth of cloud
computing, organizations may access with greater end Information Technology
resources at reduced cost and even access high-performance Information
Technology equipment like huge businesses through small and medium-sized
firms. Simultaneously, the reduction of IT burdens can help companies focus on
their core business. Cloud computer-led process management will accomplish
the overall IT quality and efficiency over a large-scale rebuilding of the sector.
Customer
E-commerce store
Shipment
Invoice entry
and processing
Product inventory
management
Figure 4: E-Commerce ERP integration benefits
Figure 4 shows the electronic commerce and Enterprise Resource Planning
integration. The feasibility of Enterprise Resource Planning and electronic
commerce integration can be derived from ERP 's association with e-
commerce, which is based on Enterprise Resource Planning's creation. ERP was
the e-commerce help program. Thus, the detailed connection between
Enterprise Resource Planning and electronic commerce can be defined as:
based on the supply chain compatibility, on the significance of customer
relations, and many more. Enterprise Resource Planning and electronic
commerce are linked to the business development restructuring and require the
re-division and integration of Enterprise Resource Planning and electronic
commerce application software. The combination of ERP and e-commerce is
progressing in the current market world such that the management of
companies has become mindful of the effect of globalization on the
fundamental profitability of undertakings. Thus, the integration of Enterprise
Resource Planning and electronic business is entirely reasonable from the
integrated demand viewpoint. To bring these two features into integration. In
the area of Enterprise Resource Planning, priority is given to modules that are
narrowly linked to capital flow and logistics, including production procurement
plans, marketing, and sales and stock and finance; website management
modules, online selling module, online buying module, and online payment
module should be taken into account in the field of electronic commerce to
form a modern application arrangement, both modules shall be integrated.
Figure 5: The parts of e-commerce involves
Figure 5 shows the parts of e-commerce.
Enterprise Resource Planning and electronic commerce incorporation involve
the cooperation of the entire business. Companies have to continue to
enhance the existing business schemes and rearrangement, modify employee
structures, and conventional work practices to develop a modern business
viewpoint. Temporarily, changes in the business scheme will have profound
impacts on the architecture of e-commerce, endorsing the growth of the
electronic commerce structure to aid the business better. Such an
organizational transformation would create a virtuous circle between. Enterprise
Resource Planning and electronic commerce, which would endorse all sides'
coordinating growth and the sustainable creation of companies.
4. Numerical Results
Internal
External
CRM SCM Product development
managmenet
Financial management
B2B B2C C2C C2B
(i) Adaptability Ratio
To ensure sustainability in this open environment, enterprises must be
interoperable and to be able to exchange knowledge at the technological
level and the company level quickly through organizations, adaptable to
specific network conditions across all phases of the life cycle. However,
enterprises face issues with the exchange of valuable information, even while
working in related business contexts, due to various specific frameworks,
semanticists, and information systems. In the end, market dynamics result in
failure of harmonization, leading to the loss of the stability of the
interoperable environment of the enterprise. Adaptability and dynamic
potential for analyzing, designing, and testing responses and approaches for
structural and organizational changes that may be needed to create a new
degree of consistency in the collaborative network. The proposed CCAERP
method enhances the adaptability ratio. Figure 6 displays the adaptability
ratio using the suggested CCAERP model.
10 20 30 40 50
Available dataset
Ad
apta
bil
ity
rat
io (
%)
90
80
70
60
50
40
30
20
10
Figure 6: Adaptability Ratio
(ii) The total sales improvement rate
E-commerce provides 24X7 online customer services, both for presales and post
orders. This allows companies to improve trust and brand loyalty among their
clients. Inventory is one of the most significant advantages of online business.
The vendors do not have to store the full variety of items listed on their pages;
instead, they can buy the same as they do when the consumer buys. For B2B
and B2C, internet businesses provided an unlimited ability to both buyers and
sellers to trade, saving them time and energy without traveling to each other's
country. It helped to deliver excellent quality goods at much more competitive
rates due to reduced selling costs. The world of today moves from a sales
market to a buyer market, and e-commerce has played a major role in this
change. Figure 7 shows the total sales improvement rate using the proposed
CCAERP method.
5 10 15 20 25 30 35 40 45 50
Available dataset
To
tal
Sal
es i
mp
rovem
ent
rate
(%
)
90
80
70
60
50
40
30
20
10
AMECT
POSSM
e-ERP
KMA
FARMA
CCAERP
Figure 7: Total sales improvement ratio
(iii) Performance ratio
Typically, cloud enterprise resource planning provides more performance than
on-site ERP. For best network performance Cloud ERP is built on the ground by
suggesting improved usability as opposed to traditional ERP systems. ERP offers
optimized performance, which can be based on the requirements. Cloud
computing provides a real way to run these ERP management systems within
the Cloud, without costly and time-consuming improvement, maintenance and
investment costs by Cloud ERP providers as soon as ERP systems move to the
Cloud. Enterprises have spent considerable amounts in funding and energy in
designing their existing internal ERP programs, and the update that would come
would render it more efficient for the cloud. Most companies choose cloud
computing for cost savings and improved system performance, so they transfer
their services to the cloud. The proposed CCAERP method enhances the
performance ratio when compared to other existing approaches. Figure 8
shows the performance ratio of the suggested CCAERP system.
Figure 8: Performance Ratio
(iv) Efficiency ratio
ERP is a packaged software system for businesses that enables one to manage
resource efficiency and productivity by providing an integrated solution to the
information processing requirements of the organization. To maintain and create
a cost-efficient and user-friendly Enterprise Resource Planning system with an
extremely high standard of quality and strong dependence on the system. The
program is supported and maintained by a different business or organizational
concepts. Its program will provide the IT maintenance/administration for
organizations consistent with high-quality services. Business is satisfied and the
companies are willing to work efficiently and effectively to consolidate and
strengthen all its belongings in esteem or for the savings in money, energy, and
time. Enterprise resource planning software depends heavily on the software
platform, information, database, security, and other applications of a third
party. Figure 9 demonstrates the efficiency ratio of the suggested CCAERP
system.
Figure 9: Efficiency ratio
(v) Computational cost
Electronic commerce is the modern age enterprise technology that
promotes and serves the varied demands of companies all over the world,
where buyers and sellers communicate electronically, helping to minimize
transaction expenses and improve the pace of production and profitability.
Electronic data exchange, emails, and electronic fund transfers are made
free of papers in an e-commerce business. E-commerce offers a range of
services, including no physical money, the use of credit cards , debit cards,
intelligence cards, transfers to banks, and other online methods of payment
and applications. Although ERP systems, often called on-site systems, are
traditionally locally operated by larger organizations, cloud-based ERP
systems have become more relevant for small and medium-sized enterprises
over the past few years, mainly because of the possibility of starting up at a
low cost. Cloud computing, and is often referred to as on-demand services. It
has offered small and medium-sized enterprises an unprecedented
opportunity to take on a wide range of cloud technologies customized to the
market needs. The proposed cloud computing assisted ERP model reduces
the cost when compared to other existing methods as shown in the Figure.10.
Figure 10: Computational Cost
The proposed Cloud Computing assisted Enterprise resource planning (CCAERP)
based on an e-commerce application for enterprise management. It achieves
high performance, efficiency, and improves the sales rate when compared to
other existing Accountable Mobile E-Commerce Transaction (AMECT), Policy-
Oriented Secured Service Model (POSSM), web-based Enterprise Resource
5 10 15 20 25 30 35 40 45 50
Available dataset
Com
puta
tional
Cost
(%
)
90
80
70
60
50
40
30
20
10
Planning (e-ERP), K-means Algorithm (KMA), Fuzzy Association Rule Mining
Approach (FARMA) methods.
5. Conclusion
This paper presents Cloud Computing Assisted Enterprise Resource Planning
(CCAERP) based on an e-commerce application for enterprise management.
B2C electronic commerce is focused on the trust histories of all consumers of the
e-commerce reputation. It then proposes an aggregate reputation calculation
model that incorporates the trust values of all service customers. The integration
of Enterprise Resource Planning and Electronic Commerce is a type of
technological innovation, and a form of management innovation, as well as a
need to address market competition in the network economy ecosystem for
businesses. Efficient ERP and e-Commerce integration will optimize enterprises’
responsiveness to the dynamic market, respond to consumers' individual needs,
and allow businesses to gain more significant business advantages in a modern
digital economy environment. Based on their current scenario and consumer
choices, businesses will aggressively establish plans aimed at combining
Enterprise Resource Planning and electronic commerce to build an innovative
market environment. New benefits in distributed computing include cost
efficiency, adaptability, and sustainable IT, which are a result of these benefits.
At present, as understood from the many tests, it has carried out a simple
analysis and study of the existing practice and methodologies concerning cloud
portable to investigate how aspects of safety are treated in such methods. The
paper points and discusses elaborately the current speculations, which were
used to measure the appreciation of improvements’ achieved and the analysis
of other concept implementations to assess the factors that affect the decision
of an organization to adopt cloud-based ERP.
Ethics Declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
This article does not contain any studies with human participants or animals
performed by any of the authors.
Author Statement
Conception and design of study : Xiaotian Qi
Acquisition of data : Xiaotian Qi , Shanmugan Joghee,
Analysis and/or interpretation of data : Shanmugan Joghee , Abdul Salam
Mohammed
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